Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system

• Published in: Ecological informatics Vol. 74; p. 101991
• Main Authors: Lap, Bui Quoc, Phan, Thi-Thu-Hong, Nguyen, Huu Du, Quang, Le Xuan, Hang, Phi Thi, Phi, Nguyen Quang, Hoang, Vinh Truong, Linh, Pham Gia, Hang, Bui Thi Thanh
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2023
• Subjects: Embedded method; Feature selection; Machine learning; Random Forest; Water quality index; Feature selection; Water quality index; Embedded method; Machine learning; Random Forest

•Propose a novel ML-based approach combining FS and ML methods to estimate the WQI•Consider advantages of FS methods to select key WQ parameters feeding to ML models•Reduce significantly the number of WQ parameters in predicting the WQI values•Evaluate the WQI values accurately, save time and analyt...